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US06735562B1 Method for estimating a confidence measure for a speech recognition system 有权
标题翻译：用于估计语音识别系统的置信度量度的方法
公开(公告)号：US06735562B1
公开(公告)日：2004-05-11
申请号：US09588163
申请日：2000-06-05
申请人： Yaxin Zhang , Ho Chuen Choi , Jian Ming Song
发明人： Yaxin Zhang , Ho Chuen Choi , Jian Ming Song
IPC分类号： G10L1514
CPC分类号： G10L15/01
摘要： A method of estimating a confidence measure for a speech recognition system, involves comparing an input speech signal with a number of predetermined models of possible speech signals. Best scores indicating the degree of similarity between the input speech signal and each of the predetermined models are then used to determine a normalized variance, which is used as the Confidence Measure, in order to determine whether the input speech signal has been correctly recognized, the Confidence Measure is compared to a threshold value. The threshold value is weighted according to the Signal to Noise Ratio of the input speech signal and according to the number of predetermined models used.
摘要翻译：一种估计语音识别系统的置信度测量的方法，包括将输入语音信号与可能的语音信号的多个预定模型进行比较。然后使用表示输入语音信号与每个预定模型之间的相似程度的最佳分数来确定用作置信度量的归一化方差，以便确定输入语音信号是否已被正确识别，将置信度与阈值进行比较。阈值根据输入语音信号的信噪比和根据所使用的预定模型的数量进行加权。

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